learning with errors
problem in machine learning that is conjectured to be hard to solve. Introduced by Oded Regev in 2005, it is a generalization of the parity learning problem
en-US/ˈlɝnɪŋ wɪθ ˈɛɹɚz/
en-GB/ˈlɜːnɪŋ ˈwɪð ˈɛɹəz/
problem in machine learning that is conjectured to be hard to solve. Introduced by Oded Regev in 2005, it is a generalization of the parity learning problem